A newly circulated 21-minute walkthrough demonstrates how a tiny open model can be fine-tuned into a task-specific assistant that runs entirely on a smartphone, no cloud connection required. The tutorial, credited to a Google engineer, lays out a compact pipeline built around Gemma 270M, Google's smallest generative model, and claims to push a narrow task's accuracy from 46% to 90% while achieving up to 2,000 tokens per second on a Pixel device.
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